The people who hang back longest in AI adoption programmes are rarely the least capable. I have noticed this pattern repeat across teams: AI adoption resistance concentrates in the experienced, the …
Hortal.com Blog
The Living Standard
The most dangerous state in codification as a practice is not absence. It is the standard that was accurate six months ago and hasn't been touched since. Teams that have done the work of codification …
Judgment at Scale Is a Codification Problem
The most common codification mistake isn't refusing to write things down. It is writing down the wrong thing. Teams ask their experienced people to document how they make decisions. Those people …
Continue Reading about Judgment at Scale Is a Codification Problem →
The Codification Advantage
Your competitors are using the same models you are. Probably the same tools too. If you are waiting for a better AI to give you an edge, you are waiting for something that will arrive for everyone …
The T-Shaped Professional in the Age of AI — Video Essay
I wrote a six-part series on the T-shaped professional and why the profile matters more in the age of AI than it did before. This is the video version: the same argument, made in eight minutes. Most …
Continue Reading about The T-Shaped Professional in the Age of AI — Video Essay →
Code Isn’t Product: The Discovery Debt AI Is Creating
There is a number that does not appear in most AI productivity reports: the percentage of AI-accelerated products that customers actually use. I call this gap discovery debt. Rich Mironov recently …
Continue Reading about Code Isn’t Product: The Discovery Debt AI Is Creating →